A systematic review of IoT in healthcare: Applications, techniques, and trends
MH Kashani, M Madanipour, M Nikravan… - Journal of Network and …, 2021 - Elsevier
Abstract Internet of Things (IoT) is an ever-expanding ecosystem that integrates software,
hardware, physical objects, and computing devices to communicate, collect, and exchange …
hardware, physical objects, and computing devices to communicate, collect, and exchange …
A review of IoT systems to enable independence for the elderly and disabled individuals
Recent years have witnessed an increase in human life expectancy fueled by significant
improvements in infrastructure, healthcare, and economies across the globe. Longer life …
improvements in infrastructure, healthcare, and economies across the globe. Longer life …
A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment
Abstract Internet of Things (IoT) and smart medical devices have improved the healthcare
systems by enabling remote monitoring and screening of the patients' health conditions …
systems by enabling remote monitoring and screening of the patients' health conditions …
HealthCloud: A system for monitoring health status of heart patients using machine learning and cloud computing
In the context of the global health crisis of 2020, the tendency of many people to self-
diagnose at home virtually, prior to any physical interaction with medical professionals, has …
diagnose at home virtually, prior to any physical interaction with medical professionals, has …
Event-driven IoT architecture for data analysis of reliable healthcare application using complex event processing
AM Rahmani, Z Babaei, A Souri - Cluster Computing, 2021 - Springer
Abstract Internet of Things (IoT) is enhancing the intelligence of the societies through a rapid
transition to a smarter, automatic, responsive world due to the dramatic increase in the …
transition to a smarter, automatic, responsive world due to the dramatic increase in the …
Ensemble of deep learning based clinical decision support system for chronic kidney disease diagnosis in medical internet of things environment
SA Alsuhibany, S Abdel-Khalek… - Computational …, 2021 - Wiley Online Library
Recently, Internet of Things (IoT) and cloud computing environments become commonly
employed in several healthcare applications by the integration of monitoring things such as …
employed in several healthcare applications by the integration of monitoring things such as …
The internet of things in geriatric healthcare
There is a significant increase in the geriatric population across the globe. With the increase
in the number of geriatric people and their associated health issues, the need for larger …
in the number of geriatric people and their associated health issues, the need for larger …
Self-improved COOT optimization-based LSTM for patient waiting time prediction
S Varanasi, K Malathi - Multimedia Tools and Applications, 2024 - Springer
Longer lines and increased demand for medical treatment result from population expansion.
When it comes to major illnesses like cancer, the situation is much awful. Instead of a …
When it comes to major illnesses like cancer, the situation is much awful. Instead of a …
Performance analysis of chronic kidney disease through machine learning approaches
Data mining and machine learning play a vital role in health care and also medical
information and detection, Now a day machine learning techniques use awareness of some …
information and detection, Now a day machine learning techniques use awareness of some …
Machine learning based classification of EEG signal for detection of child epileptic seizure without snipping
The electroencephalogram (EEG) signal is very important in the diagnosis of epilepsy. Long-
term EEG recordings of an epileptic patient contain a huge amount of EEG data. Therefore …
term EEG recordings of an epileptic patient contain a huge amount of EEG data. Therefore …